Tobias Alt

According to our database1, Tobias Alt authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Generative AI Models: Opportunities and Risks for Industry and Authorities.
CoRR, 2024

2023
Deep spatial and tonal data optimisation for homogeneous diffusion inpainting.
Pattern Anal. Appl., November, 2023

Connections Between Numerical Algorithms for PDEs and Neural Networks.
J. Math. Imaging Vis., January, 2023

2022
Connecting mathematical models for image processing and neural networks.
PhD thesis, 2022

Learning Sparse Masks for Diffusion-Based Image Inpainting.
Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior.
Proceedings of the 10th European Workshop on Visual Information Processing, 2022

2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods.
CoRR, 2021

Translating Numerical Concepts for PDEs into Neural Architectures.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

JPEG Meets PDE-based Image Compression.
Proceedings of the Picture Coding Symposium, 2021

Learning Integrodifferential Models for Image Denoising.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Comment on "Hurdle Clearance Detection and Spatiotemporal Analysis in 400 Meters Hurdles Races Using Shoe-Mounted Magnetic and Inertial Sensor".
Sensors, 2020

Translating Diffusion, Wavelets, and Regularisation into Residual Networks.
CoRR, 2020

Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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